Imaging measures predict progression in progressive supranuclear palsy

Research output: Contribution to journalArticle

11 Citations (Scopus)

Abstract

Objective: The aim of this work was to determine whether the progressive supranuclear palsy rating scale, a measure of disease severity, is associated with neuroanatomical changes in progressive supranuclear palsy. Methods: We recruited 22 subjects with probable progressive supranuclear palsy who completed the progressive supranuclear palsy rating scale at 2 time points. All subjects had magnetic resonance imaging and diffusion tensor imaging. Associations were assessed between whole brain volume, ventricular volume, midbrain area and superior cerebellar peduncle fractional anisotropy, and baseline/change of the progressive supranuclear palsy rating scale. Results: Superior cerebellar peduncle fractional anisotropy correlated with the total score and gait/midline subscore of the progressive supranuclear palsy rating scale. Whole brain volume, midbrain area, and disease duration predicted subsequent change over time in the gait/midline subscore of the progressive supranuclear palsy rating scale. Conclusions: Imaging measures could be useful to help predict clinical progression in subjects with progressive supranuclear palsy.

Original languageEnglish (US)
Pages (from-to)1801-1804
Number of pages4
JournalMovement Disorders
Volume27
Issue number14
DOIs
StatePublished - Dec 2012

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Progressive Supranuclear Palsy
Anisotropy
Mesencephalon
Gait
Diffusion Tensor Imaging
Brain
Magnetic Resonance Imaging

Keywords

  • Diffusion tensor imaging
  • Magnetic resonance imaging
  • Midbrain
  • Progressive supranuclear palsy rating scale
  • Superior cerebellar peduncle

ASJC Scopus subject areas

  • Clinical Neurology
  • Neurology

Cite this

Imaging measures predict progression in progressive supranuclear palsy. / Whitwell, Jennifer Lynn; Xu, Jia; Mandrekar, Jayawant; Gunter, Jeffrey L.; Jack, Clifford R Jr.; Josephs, Keith Anthony.

In: Movement Disorders, Vol. 27, No. 14, 12.2012, p. 1801-1804.

Research output: Contribution to journalArticle

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AU - Xu, Jia

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AU - Jack, Clifford R Jr.

AU - Josephs, Keith Anthony

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